Partially linear single‐index generalized mean residual life models

2021 ◽  
Author(s):  
Peng Jin ◽  
Mengling Liu
Keyword(s):  
Residual Life ◽  
Mean Residual Life ◽  
Single Index ◽  
Partially Linear ◽  
Generalized Mean

scholarly journals Generalized mean residual life models for case-cohort and nested case-control studies

2020 ◽  
Vol 26 (4) ◽  
pp. 789-819
Author(s):  
Peng Jin ◽  
Anne Zeleniuch-Jacquotte ◽  
Mengling Liu
Keyword(s):  
Residual Life ◽  
Case Control ◽  
Mean Residual Life ◽  
Case Control Studies ◽  
Generalized Mean ◽  
Nested Case Control

On generalized mean residual life of record values

2010 ◽  
Vol 80 (9-10) ◽  
pp. 797-806 ◽  
Author(s):  
Chanchal Kundu ◽  
Asok K. Nanda
Keyword(s):  
Residual Life ◽  
Record Values ◽  
Mean Residual Life ◽  
Generalized Mean

On the mean residual life of a k-out-of-n:G system with a single cold standby component

2012 ◽  
Vol 222 (2) ◽  
pp. 273-277 ◽  
Author(s):  
Serkan Eryilmaz
Keyword(s):  
Residual Life ◽  
Mean Residual Life ◽  
Cold Standby ◽  
The Mean

scholarly journals A Distribution for Instantaneous Failures

Stats ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 247-258 ◽  
Author(s):  
Pedro L. Ramos ◽  
Francisco Louzada
Keyword(s):  
Residual Life ◽  
Likelihood Estimation ◽  
Estimation Methods ◽  
Mean Residual Life ◽  
Parameter Distribution ◽  
Coverage Probabilities ◽  
Instantaneous Failures ◽  
The Relationship ◽  
Mean Variance ◽  
New Distribution

A new one-parameter distribution is proposed in this paper. The new distribution allows for the occurrence of instantaneous failures (inliers) that are natural in many areas. Closed-form expressions are obtained for the moments, mean, variance, a coefficient of variation, skewness, kurtosis, and mean residual life. The relationship between the new distribution with the exponential and Lindley distributions is presented. The new distribution can be viewed as a combination of a reparametrized version of the Zakerzadeh and Dolati distribution with a particular case of the gamma model and the occurrence of zero value. The parameter estimation is discussed under the method of moments and the maximum likelihood estimation. A simulation study is performed to verify the efficiency of both estimation methods by computing the bias, mean squared errors, and coverage probabilities. The superiority of the proposed distribution and some of its concurrent distributions are tested by analyzing four real lifetime datasets.

scholarly journals Limiting behaviour of the mean residual life

2003 ◽  
Vol 55 (1) ◽  
pp. 217-226 ◽  
Author(s):  
David M. Bradley ◽  
Ramesh C. Gupta
Keyword(s):  
Residual Life ◽  
Mean Residual Life ◽  
Limiting Behaviour ◽  
The Mean

scholarly journals Mean residual life ordering

1990 ◽  
Vol 31 (1) ◽  
pp. 307-307
Author(s):  
A. A. Alzaid
Keyword(s):  
Residual Life ◽  
Mean Residual Life

Smooth nonparametric estimation of mean residual life

1991 ◽  
Vol 31 (1) ◽  
pp. 97-108 ◽  
Author(s):  
K.B. Kulasekera
Keyword(s):  
Nonparametric Estimation ◽  
Residual Life ◽  
Mean Residual Life
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